RCL FOODS is seeking a NRM Analyst to join our Net Revenue Management team. The role would be based in Durban, KwaZulu Natal \u00a0and will report to the Customer Net Revenue Manager.
\n\tThe NRM Analyst plays a critical role in accelerating RCL Foods\u2019 Net Revenue Management maturity by delivering deep, data driven insights across pricing, promotions, mix, trade investment, pack price architecture, and shopper\/consumer behaviour.
\n\tThis role acts as the analytical engine supporting customer negotiations, category growth initiatives, and commercially led NRM decision making.
\n\tThe analyst will bring together internal data, market insights, shopper behaviour, and elasticity analytics to generate clear, actionable recommendations that drive profitable growth and sustainable net revenue outcomes.<\/p>\n
Minimum Requirements\u00a0\u00a0 \u00a0<\/p>\n
\tDegree in Commerce, Economics, Data Analytics, Business Science, Statistics, Marketing, or related field.
\n\t1\u20134 years\u2019 experience in NRM, RGM, commercial analysis, category insights, finance, or FMCG analytics
\n\tExposure to elasticity analysis, pricing, promo evaluation, or shopper insights (advantageous).
\n\tExperience working with Power BI, Nielsen\/IRI, or other market data sources preferred.
\n\tExperience working with large datasets and cross-functional teams.
\n\tStrong analytical and insight-generation skills.
\n\tExpertise in Excel; working knowledge of Power BI or other visualisation tools.
\n\tAbility to work with elasticity models, demand curves, and scenario planning frameworks.
\n\tUnderstanding of shopper and consumer analytics (panels, LSM trends, basket insights).
\n\tSolid foundation in P&L understanding and FMCG commercial levers.
\n\tStrong communication, problem-solving, and project management abilities.<\/p>\n
Duties & Responsibilities\u00a0\u00a0 \u00a0<\/p>\n
\tDeliver analytics across NRM\u2019s five levers and translate outputs into clear commercial recommendations.
\n\tConduct price\/promo elasticity and scenario modelling to size volume, margin, and NSV impacts.
\n\tIntegrate shopper, consumer, and competitive signals into NRM analyses.
\n\tPartner with Insights Hub and IT\/BI to co-design, maintain and automate core NRM data pipelines and dashboards.
\n\tChampion data governance and quality for key NRM datasets.
\n\tProvide training and enablement to teams on NRM dashboards.
\n\tMaintain accurate trade spend visibility and support compliance tracking.
\n\tCollaborate with Master Data teams to maintain accurate product and pricing hierarchies.
\n\tWork cross-functionally to embed NRM decision-making and improve storytelling.
\n\tSupport NRM and Insights workshops and capability-building initiatives<\/p>\n
Deadline:23rd March,2026<\/p>\n
go to method of application \u00bb<\/p>\n
Apply via company website ( ) or<\/p>\n
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